Nano - R1 - Model Open - source AI Model - Optimized Based on Qwen2, with Inference Speed Doubled!

Nano R1 Model

Developed by Mansi-30

Optimized Qwen2 model based on Unsloth and Huggingface TRL library, achieving 2x inference speed improvement

EnglishOpen Source License:Apache-2.0 #4-bit quantized inference #Instruction fine-tuning optimization #Unsloth acceleration

Downloads 25

Release Time : 3/17/2025

Model Overview

This is an optimized 3B-parameter language model focused on text generation and reasoning tasks, utilizing 4-bit quantization technology to reduce resource consumption

Model Features

Efficient inference optimization

Achieves 2x inference speed improvement through the Unsloth framework

4-bit quantization

Uses BNB 4-bit quantization technology to reduce GPU memory requirements

TRL training

Utilizes Huggingface's TRL library for reinforcement learning training

Model Capabilities

Text generation

Instruction following

Reasoning task processing

Use Cases

Text generation

Content creation

Automatically generates creative content such as articles and stories

Produces coherent and logical text

Q&A systems

Knowledge Q&A

Answers various questions from users

Provides accurate and relevant answers

Property	Details
Base Model	unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit
Tags	text-generation-inference, transformers, unsloth, qwen2, trl, grpo
Developed by	Mansi-30
License	apache-2.0
Finetuned from model	unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit

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Nano R1 Model

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